Additivity and Interaction in Three-Component Experiments with Mixtures

J. N. Darroch · John D. Waller

49 citations0/0 files storedBiometrika

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Optimal Experimental Design Methods Statistical Methods and Applications Bayesian Methods and Mixture Models

Abstract

Additivity and interaction are defined for a three-component mixture experiment, and studied both for polynomial models and factorial models. The notion of the blandness of a component is introduced. Linear blending is equivalent to the combination of no interaction and the blandness of all three components.

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References

1958Experiments with Mixtures 1984Experiments with Mixtures: Designs, Models, and the Analysis of Mixture Data.1963The Simplex-Centroid Design for Experiments with Mixtures 1984Log Contrast Models for Experiments with Mixtures 1962Simplex Lattice Designs for Multicomponent Systems 1971A Note on Polynomial Response Functions for Mixtures 1968Models for the Response of a Mixture

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2014General Blending Models for Data From Mixture Experiments

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